Medical Image Computing and Analysis (MICA) Laboratory (https://mica.jhu.edu/) in the Division of Medical Physics, Department of Radiation Oncology and Molecular Radiation Sciences at John Hopkins University School of Medicine has a postdoctoral research fellow position opening for a highly qualified personnel to work on research in medical image processing and analysis, artificial intelligence (AI), and image-guided radiation therapy. A team of radiation oncologists, radiologists, imaging scientists, MR physicists, and a company is working on real-time MR-guided gynecologic cancer radiation therapy where the fellow will work on AI-based normal tissue segmentation, multi-parametric MRI-based tumor classification, and fast signal and image processing for real-time image guidance.
An ideal candidate should have Ph.D. in biomedical or electrical engineering, computer science, or medical physics with a strong background and interest in medical image processing/analysis and machine learning. Programming experience in python, Matlab, C++, ITK/VTK, CUDA, tensorflow, pytorch is a plus.
This is an exciting research opportunity to learn and work on latest and cutting edge techniques in medical image processing, machine learning, MRI, and image-guided interventions in collaboration with multi-disciplinary team. Interested applicants should send their CV and names of three professional references to:
Junghoon Lee, Ph.D.
Division of Medical Physics
Department of Radiation Oncology and Molecular Radiation Sciences
Johns Hopkins University School of Medicine